Exploring Elementary-School Students' Engagement Patterns in a Game-Based Learning Environment

Unlike most research, which has primarily examined the players’ interest in or attitude toward game-based learning through questionnaires, the purpose of this empirical study is to explore students’ engagement patterns by qualitative observation and sequential analysis to visualize and better understand their game-based learning process. We studied the sequential behaviors of 34 students (17 male and 17 female) and considered issues of gender differences and sequential pattern similarities. The results show that the behavioral coding schema provided by the authors and the innovative method of sequential analysis can provide researchers with a certain level of understanding of students’ engagement patterns in game-based learning environments. In terms of the overall sequence results, this study identified higher and lower engagement patterns to represent students’ learning processes in game-based learning. Moreover, the sequential patterns represent qualitative differences and similarities in engagement patterns grouped by gender. A good engagement cycle, in which male and female students started the game to attempt to think and solve problems, was noticeable. However, male students were observed to demonstrate more engaged behaviors, with continuous self-conversations when confused. The frequency of self-conversation from female students was obviously lower than that of male students and revealed more verbal and nonverbal behaviors. The deep examination of students’ verbal and nonverbal engagement behaviors may make beneficial contributions to the educational technology field with the adoption of sequential analysis.

[1]  Renata Phelps,et al.  The Metacognitive Approach to Computer Education: Making Explicit the Learning Journey , 2007 .

[2]  David Pinelle,et al.  Heuristic evaluation for games: usability principles for video game design , 2008, CHI.

[3]  Jennifer A. Fredricks,et al.  School Engagement: Potential of the Concept, State of the Evidence , 2004 .

[4]  Stephen M. Alessi,et al.  Multimedia for Learning: Methods and Development , 2000 .

[5]  James M. Boyle,et al.  A systematic literature review of empirical evidence on computer games and serious games , 2012, Comput. Educ..

[6]  Huei-Tse Hou,et al.  Exploring the behavioral patterns of learners in an educational massively multiple online role-playing game (MMORPG) , 2012, Comput. Educ..

[7]  Albert H. Segars,et al.  Exploring the theoretical foundations of playfulness in computer interactions , 2002, Comput. Hum. Behav..

[8]  Elaine Toms,et al.  What is user engagement? A conceptual framework for defining user engagement with technology , 2008, J. Assoc. Inf. Sci. Technol..

[9]  Marina Papastergiou,et al.  Digital Game-Based Learning in high school Computer Science education: Impact on educational effectiveness and student motivation , 2009, Comput. Educ..

[10]  Fengfeng Ke,et al.  Games for engaged learning of middle school children with special learning needs , 2013, Br. J. Educ. Technol..

[11]  D. McIntosh,et al.  More than mere mimicry? The influence of emotion on rapid facial reactions to faces. , 2007, Emotion.

[12]  Garrison W. Cottrell,et al.  Transmitting and Decoding Facial Expressions , 2005, Psychological science.

[13]  Frederik Cornillie,et al.  From pen-and-paper content to educational math game content for children: A transfer with added difficulty , 2014, Int. J. Child Comput. Interact..

[14]  Eric Deeson,et al.  Interactive learning systems evaluation , 2004, Br. J. Educ. Technol..

[15]  Judy Robertson,et al.  Making games in the classroom: Benefits and gender concerns , 2012, Comput. Educ..

[16]  Philip Smith Roger Bakeman John M. Gottman , 1987, Animal Behaviour.

[17]  SungYao-Ting,et al.  Embedding game-based problem-solving phase into problem-posing system for mathematics learning , 2012 .

[18]  Kirsten Risden,et al.  Guidelines for usability testing with children , 1997, INTR.

[19]  Ya-Hui Hsieh,et al.  Exploring the role of flow experience, learning performance and potential behavior clusters in elementary students' game-based learning , 2016, Interact. Learn. Environ..

[20]  Zhi-Hong Chen,et al.  Exploring students' behaviors in a competition-driven educational game , 2014, Comput. Hum. Behav..

[21]  Glenda A. Gunter,et al.  Taking educational games seriously: using the RETAIN model to design endogenous fantasy into standalone educational games , 2008 .

[22]  L. Barsalou Situated simulation in the human conceptual system , 2003 .

[23]  K. Kiili Content creation challenges and flow experience in educational games: The IT-Emperor case , 2005, Internet High. Educ..

[24]  D. Kolb Experiential Learning: Experience as the Source of Learning and Development , 1983 .

[25]  Huei-Tse Hou,et al.  Evaluating multiple aspects of a digital educational problem-solving-based adventure game , 2014, Comput. Hum. Behav..

[26]  Huei-Tse Hou,et al.  Analyzing the Learning Process of an Online Role-Playing Discussion Activity , 2012, J. Educ. Technol. Soc..

[27]  Thomas C. Reeves,et al.  Interactive Learning Systems Evaluation , 2003 .

[28]  Bartholomäus Wissmath,et al.  Playing online games against computer- vs. human-controlled opponents: Effects on presence, flow, and enjoyment , 2008, Comput. Hum. Behav..

[29]  Wilfried Admiraal,et al.  The concept of flow in collaborative game-based learning , 2011, Comput. Hum. Behav..

[30]  Kursat Cagiltay,et al.  Flow experiences of children in an interactive social game environment , 2007, Br. J. Educ. Technol..